Abstract: Non-intrusive load monitoring (NILM) can provide appliance-level power consumption information without deploying submeters for each load, in which load event detection is one of the crucial ...

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...

In this video, learn how to create a simple chicken trap using natural materials found in the forest. The video also demonstrates a delicious grilled chicken preparation, showcasing essential survival ...

This repo is intended to provide a simple pipeline example for getting started with programmtic data ingestion and updates in bit.io. To keep the repo simple, many best practices such as logging, ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...